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Engineering an in vitro retinothalamic nerve model.

Giulia Amos1, Stephan J Ihle1, Blandine F Clément1

  • 1Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, Eidgenössische Technische Hochschule (ETH) Zurich, Zurich, Switzerland.

Frontiers in Neuroscience
|June 5, 2024
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Summary

This study developed an in vitro model of the retinogeniculate pathway using microfluidic channels. Shorter channels (0.5-2 mm) maintained network integrity, while longer channels impaired signal transmission.

Keywords:
engineered neuronal networksmicroelectrode arraysretinogeniculate pathwayspike propagationunidirectional transmission

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Developmental Biology

Background:

  • The retinogeniculate pathway is crucial for visual processing.
  • Understanding its development in vitro aids therapeutic strategies.
  • Existing models lack the complexity to study signal transmission dynamics.

Purpose of the Study:

  • To develop and validate a novel in vitro microfluidic system for studying the retinogeniculate pathway.
  • To investigate the impact of channel length on neural network formation and signal propagation.
  • To assess the influence of electrical stimulation parameters on thalamic target responses.

Main Methods:

  • A Polydimethylsiloxane (PDMS)-based two-chamber system with axon guidance channels was engineered.
  • Embryonic rat retinal spheroids were cultured to innervate thalamic targets via microfluidic channels (up to 6 mm).
  • Electrical stimulation and functional calcium imaging were employed to assess network function on a microelectrode array.

Main Results:

  • Network integrity (morphological and functional) was significantly higher in shorter channels (0.5-2 mm).
  • Longer channels (>4 mm) showed reduced spike propagation and conduction fidelity.
  • Thalamic target activity and sustained calcium responses (up to 31 Hz stimulation) were observed.

Conclusions:

  • Channel length critically influences retinothalamic network formation and signal transmission in vitro.
  • The developed platform enables high-throughput analysis of neural network development and function.
  • This model offers insights into visual pathway development and potential therapeutic interventions.